6 citations · 13 across the 10 of their papers we have counts for
3 papers · 1 filter
VERAGMIL: Virtual Environment for Scooping Granular Foods with Imitation Learning Models
Amanuel Ergogo, Diego Dall'Alba, Przemyslaw Korzeniowski
Robot-Assisted Feeding (RAF) systems are essential for assisting individuals with disabilities or motor impairments in eating tasks. Manipulating granular food items, such as rice…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning
Diego Dall'Alba, Michał Naskręt, Sabina Kaminska +1
Robotic surgery is a rapidly developing field that can greatly benefit from the automation of surgical tasks. However, training techniques such as Reinforcement Learning (RL) requi…